How to measure the impact of paid social media on PPC

If your paid social campaigns aren’t converting, you may be underestimating their impact. Your brand’s exposure on social media can impact other parts of your marketing that social media metrics don’t capture.

Here’s how to design and measure an experiment to understand how a paid community affects your other marketing channels, including PPC.

Step 1: Find your hypothesis

Start with what you want to learn, then define a hypothesis that you can test realistically with your data.

For example, this is a general rule of thumb for measuring paid search traffic from social traffic:

• Search for a hypothesis to propose: Increasing social media spend will increase product search volume and overall PPC CTRs.
• Meaning:
  • Social media ads build brand awareness. As more people become familiar with our product, they will search for it more often when doing research and making purchasing decisions.
  • As more people are exposed to our product, they will click more on our PPC ads regardless of the search term (ie, increasing CTRs for non-brands and brands).
  • People who have been exposed to our product multiple times will have a higher trust in our products, and therefore, our conversion rates will increase.
• Rating:
  • Point and click volume for our branded terms.
  • CTR changes for brand and non-brand terms.
  • The conversion rate varies across brand and non-brand terms.

Your hypothesis can have a different scope, such as paid measurement and organic growth from social media or increased direct traffic.

Step 2: Testing

The next step is to set test parameters. Often, measuring before and after a change is a mistake, as the time of year or other factors can affect your test results.

The most common setup for testing is spatial separation. In this test, we will add the money spent on the community for a set of places only. Then we’ll examine the PPC data for the places where we tested and compare it to the places where we didn’t.

As you select locations, you’ll want to control other factors that may affect your test. Here are some common issues that companies run into and need to manage in their testing and evaluation:

• You sponsor a sports team, and they play during your audition.
  • If the game is televised in the region, this may significantly affect your test results.
• You only use TV ads in certain regions.
• You choose test locations with high out-of-state ridership, such as New York City, and include New Jersey and Connecticut in your control group.
  • In these cases, grouping the region and its surrounding commuter areas together, and placing other cities with similar characteristics, such as Chicago and Philadelphia, in a separate group, can help balance these tests. (Note: in this example, we’re dividing New Jersey in half.)
• Seasonal or local events. Large conferences, festivals, or major weather events can affect your data.

Your control and experimental groups should be statistically similar across characteristics such as income levels, and urban versus rural areas.

As you set up and measure your test, consider your budget. If you’re increasing social media spend and expecting high clicks and conversions from your PPC campaigns, make sure you have a budget to capture the increased demand.

Check your impression shares and lost impression shares in the budget before and after the test to ensure that budget restrictions will not negatively affect your results.

Dig deep: Why PPC tests in 2026 are looking for nuances, not winners

Step 3: Measurement

Measurements can range from very simple to very complex.

At the simplest level, you can compare platform data to see how your data changed. In this case, the Google Ads report shows how pausing social spending and influencer campaigns across social media (TikTok, LinkedIn, Facebook, YouTube, etc.) affects performance.

In this experiment, pausing social use yielded mixed results for conversion rates. As product searches decrease, conversion rates in some regions increase, while in others they decrease.

What was constant, however, was a significant drop in conversions.

You can get complicated in your testing. Depending on your analytics setup, some companies want to measure touchpoint differences with their conversions. Others will want to measure the overlap between social and paid search visitors, or examine touchpoints and models.

Before you set up your test, make sure you have the measurement skills necessary to understand and interpret the results.

Step 4: Test beyond the test criteria

As you conduct various experiments, you want to measure the results against your hypothesis. However, it is useful to list other variables that should be evaluated beyond your evaluation criteria.

This is where search consoles, analytics tools, CRM, internal data, and even paid and live reporting can come into play.

In one example, a company was conducting an experiment to see if setting up a few advertising channels, from social media to TV ads, would dramatically change search volume for a product. They think that their product is so well known in the market that they can reduce several types of product advertising and reallocate the budget to other channels and non-product advertising.

Although a simple paid and organic report on Google ads will not tell you the complete story about store revenue and specific traffic changes, it can serve as a signal to create an overall picture of a more complex test.

They recently introduced a new product line, and that line continued to see a significant increase in traffic during the testing period. However, their most common product terms saw a significant drop in ratings. This was a year-to-year comparison across the entire set of locations, rather than a season-to-season comparison, to help adjust for the increase in holiday traffic that may have occurred during the previous season.

The results were the most surprising I’ve ever seen for this type of test, so it became clear that other variables must be at play that could affect the test.

This takes you to the sniff test. Rely on your experience with the data to make meaningful changes. If you look at the data and it doesn’t seem right, ask yourself if this makes sense, if it’s a statistical anomaly (common with low data), or if some unexpected variable is at play.

In this instance, no one believed that the results should be so dramatic. The company stopped testing and began an internal evaluation of its organic presence, including recent Google updates, changes in AI Overviews, AI interactions, and other factors affecting its presence on the web in addition to its traditional marketing channels.

Dig deeper: Are your PPC ads still relevant in the creative age of AI?

What to do with your social impact assessment

Setting up the test is easy:

• Determine your hypothesis.
• Decide how you will test. Easy setup for zone separation.
• Make sure you can measure the results.
• Introduce tests.
• Measure the metrics of your hypothesis.
• Explore other metrics to gain insight or additional ideas for testing.

For some companies, Facebook and other social channels are their top conversion channels, and these tests won’t work. To some, the results of social media advertising tend to look negative when evaluated in isolation.

In these examples, companies were already using multiple social media campaigns, so the test was to reduce the use of social media. If you don’t use a lot of social media, your test will be to increase your social media budget to see how it affects your data.

I have seen many of these tests, and the results are not very consistent across companies. Most companies will increase their social media spend and see little change in their data. Others will increase their spending and see a positive increase in overall performance. These are tests that you need to run yourself, as your results will vary from company to company.

Running segmentation tests on your social media campaigns and measuring the results in paid or organic search traffic can give you insights on how to use social media campaigns in other marketing channels.